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3.2.1 Integrate‐and‐Fire Models

Оглавление

For coupling two neurons two integrate‐and‐fire neurons with mutual excitatory or inhibitory coupling have been described in [1]. The neurons with activation variables xi for i = 1, 2, satisfy:

(3.1)

where ξ >1 is a constant, 0 < xi < 1, and Ei (t) is the synaptic input to neuron i. Neuron i fires when xi = 1 and hen resets xi to 0. If cell ji fires at time tj the function Ei is augmented to Ei (t) + Es (t‐tj ), where Es is the contribution coming from one spike [1]. In an example in [1] this function is selected as:

(3.2)

where g and α are parameters determining the strength and speed of the synapse respectively and the factor of α 2 in (3.2) normalizes the integral of Es over time to the value g. In the considered cases the two neurons continue firing periodically when they are coupled together. Assuming that neuron 1 fires at times t = nT, where T is the period and n is an integer, while neuron 2 fires at t = (n − φ)T. Therefore, both neurons are firing at the same frequency but are separated by a phase φ. We wish to determine possible values of the phase difference φ and conditions under which they arise.

EEG Signal Processing and Machine Learning

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